Multipopulation Evolutionary Strategy HMS
Overview
The HMS (Hierarchic Memetic Strategy) is a composite global optimization strategy consisting of a multi-population evolutionary strategy and some auxiliary methods. The HMS makes use of a dynamically-evolving data structure that provides an organization among the component populations. It is a tree with a fixed maximal height and variable internal node degree. Each component population is governed by a particular evolutionary engine. This package provides a simple R implementation with examples of using different genetic algorithms as the population engines. References: J. Sawicki, M. Łoś, M. Smołka, J. Alvarez-Aramberri (2022) doi:10.1007/s11047-020-09836-w.
sc_max_metric()uses centroids instead of sprouts (#54).- fix M1 mac failing tests.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 31
- Examples that run
- 100%28 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 93%
- Median days to close, 50 most recently updated closed issues
- 14
- Median days to close, 50 most recently updated closed PRs
- 1
9 development-tooling and community-health practices detected across 5 families in the upstream repository
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Dependencies
Installing hmsr adds 21 packages (14 with compiled code, 14 MB of source tarballs). Heaviest: GA 4.8 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.
Code & Tests
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- RR 4.6.0 released · 2026-04-24
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- RR 4.4.0 released · 2024-04-24
- 1.0.1Latest
- 1.0.02023-10-12
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-10-12
- Total releases
- 2 / 3 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 24 KB
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